Distribuição Espacial Das Propriedades Do Solo, Produção

Alencar, Nayara Martins; Melo, Jonahtan Chaves; Santos, Antônio Clementino dos; Cunha, Odislei Fagner Ribeiro; Neto, Joaquim José de Paula

doi:10.13083/reveng.v24i4.602

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…In contrast, the area with mombaça grass showed smaller values of range, indicating that this area has greater variability, thus being more heterogeneous. Thus, this greater variability in the area of mombaça grass may be related to the greater grazing intensity (Alencar et al, 2016).…”

Section: Discussionmentioning

confidence: 98%

“…Kriging maps allow the establishment of land-use and management criteria in isolation for each variable evaluated, making it possible to improve the use of the area, the nutrition of pastures (Alencar et al, 2016), with decreased production costs and quick and certain decision making, enabling greater productivity and also the conservation of the environment through less use of pesticides, in addition to providing more detailed and useful records of the productive area (Santos et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

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Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Silva¹,

Campos²,

Brito³

et al. 2021

Rev. ambiente água

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“Erodibility” is a characteristic of the soil that represents the susceptibility with which its particles from the most superficial layer are taken and transported to lower places by erosive agents, causing environmental and economic damages. This work estimated soil erodibility in pastures and forest areas in the municipality of Porto Velho-Rondônia. In the field, three areas with different types of vegetation were selected, one with brachiaria, another with mombaça grass, and a third in native forest. In areas with pastures, a sampling mesh of equal sizes was outlined (90 m x 60 m), and in the forested area an approximate sampling mesh (90 m x 50 m), with a regular spacing of 10 m between the samples points for both areas. The sampling was done at the crossing points of the mesh at a depth of 0.0-0.2 m, composing 70 sample points in the areas with pastures and 60 sample points in the forest area, totaling 200 samples. Then, laboratory analyzes were carried out to determine the texture followed by the fractionation of the sand, and the organic carbon followed by the estimate of the organic matter of the soil. The erodibility factors were calculated using indirect prediction models, and then, univariate, geostatistical and multivariate techniques were applied. The pastures’ environments differed from the forest environment. However, the mombaça grass area functions as an intermediate environment between the forest and the brachiaria, being closer to the forest environment. Keywords: erodibility, factors, kriging, principal components.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Silva¹,

Campos²,

Brito³

et al. 2021

Rev. ambiente água

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show abstract

“…This greater variability in the mombaça area may be related to the greater grazing intensity, which corresponds to 6.14 animails ha −1 in relation to the brachiaria area, which is 4.50 animals ha −1 . The higher grazing intensity related to grazing preference zones 36 , with local microrelief that directs the flow of water and nutrients present in the soil 37 , contribute to the generation of variability of chemical attributes in pasture areas.…”

Section: Discussionmentioning

confidence: 99%

“…As a product of geostatistics, we have kriging maps that allow the observation of the distribution of the studied attributes. With this, it is possible to establish criteria for use and management in an isolated way, allowing rationing of management in relation to fertilization and chemical correction of the soil, distributing nutrients in areas that need it most 36 . This makes it possible to reduce production costs, increase productivity and reduce the risks of environmental pollution with the excessive use of chemical fertilizers 38 .…”

Section: Discussionmentioning

confidence: 99%

Soil chemical attributes in areas under conversion from forest to pasture in southern Brazilian Amazon

Lima

Campos

Martins

et al. 2022

Sci Rep

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The south of the Brazilian Amazon is one of the largest cattle-producing regions in Brazil, however, most of the pastures are in low fertility soils. Thus, cattle breeders compensate for the low production of pastures, increasing the size of the areas, generating more deforestation and burning. These practices increase the chemical degradation process of Amazonian soils, making them increasingly infertile when improperly managed. With this, the objective of the work was to evaluate the impacts caused in the chemical attributes of soils, in areas under forest-to-pasture conversion, in the south of the Brazilian Amazon. The study was carried out in the district of União Bandeirantes, in an area of forest and two areas with pastures (brachiaria and mombaça grass). In the field, soil samples were collected at two depths (0.00–0.10 and 0.10–0.20 m), to carry out chemical analyzes. Further, uni, bi and multivariate statistical analyzes were carried out, besides geostatistical analyzes were carried out to study spatial variability and management zones. The conversion of forest to pasture increased the pH and exchangeable bases levels, reducing the availability of exchangeable aluminum and potential acidity, however, it induces losses of phosphorus and organic carbon from the soil. Among the pasture environments, the mombaça grass area presented higher fertility. Greater spatial variability of chemical attributes was observed in the environment with mombaça grass, indicating greater heterogeneity in the distribution of attributes in the area. We attribute this behavior to the higher grazing intensity and the micro-reliefs in the area that direct the flow of water and nutrients.

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“…The pasture horizontal structure variability under degradation is little explored, and intervention is usually carried out through recovery management over a heterogeneous area. This practice may underestimate or overestimate the current needs for cultivated areas (ALENCAR et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of the horizontal structure and production of biomass in Massai grass in an agropastoral system

et al. 2021

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In Brazil, 60% to 80% of cultivated pastures show some degradation level. Thus, the objective was to evaluate the variability of the horizontal structure and biomass of Massai grass in an agropastoral system as a diagnosis of degraded pasture. We performed the georeferencing in a 12m × 13m mesh, totaling 48 sampling stations, and evaluated grass's biomass and structural characteristics at each station. We submitted the data to descriptive statistics and geostatistical analysis. We observed a process of degradation of pasture in the experimental area. Under these conditions, most of the characteristics of the pasture's horizontal structure and the production of biomass showed spatial dependence with high variability. Geostatistics efficiently represented and understood the variability of the studied attributes, enabling developing a specific pasture recovery management plan.

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Distribuição Espacial Das Propriedades Do Solo, Produção

Cited by 5 publications

References 10 publications

Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Soil chemical attributes in areas under conversion from forest to pasture in southern Brazilian Amazon

Spatial variability of the horizontal structure and production of biomass in Massai grass in an agropastoral system

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